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Table 5 Theory obtained for 65_Dermatitis SEP (SEP_7)

From: Integrative relational machine-learning for understanding drug side-effect profiles

Rule #

Condition part of the rule

P

N

3

drug_has_target(A,B,inhibitor), goterm(B,’cellular response to insulin stimulus’)

15

1

18

drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,part_of,go:21543)

13

1

1

drug_has_target(A,B,activator), interact(B,C), goterm(C,’central nervous system development’)

12

1

30

drug_has_target(A,B,inhibitor), interact(B,C), pathway(C,’BCR signaling pathway’,pid), drug_cluster(A,’17_quinine’,hpcc)

12

0

24

drug_has_target(A,B,inhibitor), interact(B,C), goterm(C,’translation’), interact(C,D)

10

1

20

drug_has_target(A,B,inhibitor), interact(B,C), pathway(C,’BCR signaling pathway’,pid), pathway(C,’EPO signaling pathway’,pid)

9

1

25

drug_has_target(A,B,activator), goterm(B,’lipid binding’), goterm(B,’ligand-dependent nuclear receptor activity’)

9

1

35

drug_has_target(A,B,activator), interact(B,C), goterm(C,’identical protein binding’), goterm(C,’DNA binding’)

9

1

6

drug_has_target(A,B,inhibitor), goterm(B,’protein homodimerization activity’), drug_cluster(A,’16_gliclazide’,hpcc)

8

0

8

drug_has_target(A,B,activator), interact(B,C), interact(C,’Serine/threonine-protein phosphatase 2A 55 kDa regulatory subunit B beta isoform’)

8

1

15

drug_has_target(A,B,inhibitor), goterm(B,’response to ethanol’), goterm(B,’signal transduction’)

8

1

19

drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,go:8227), drug_cluster(A,’16_Flavoxate’,hpcombo)

8

0

31

drug_has_target(A,B,inhibitor), interact(B,C), interact(C,’Dedicator of cytokinesis protein 1’)

8

0

5

drug_has_target(A,B,activator), goterm(B,’receptor activity’), interact(B,C), goterm(C,’mitosis’)

7

1

10

drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,’cation channel activity’), goterm(B,’serotonin receptor activity’)

7

1

14

drug_has_target(A,B,activator), pathway(B,’Neuroactive ligand-receptor interaction’,kegg), goterm(B,’transcription, DNA-dependent’), goterm(B,’signal transduction’)

7

0

16

drug_has_target(A,B,inhibitor), pathway(B,’Endocytosis’,kegg)

7

0

21

drug_has_target(A,B,activator), interact(B,C), interact(C,’RNA polymerase-associated protein CTR9 homolog’)

7

1

22

drug_has_target(A,B,inhibitor), pathway(B,’Role of Calcineurin-dependent NFAT signaling in lymphocytes’,pid), goterm(B,’signal transduction’)

7

1

23

drug_has_target(A,B,inhibitor), interact(B,C), domain(C,’ Protein synthesis factor, GTP-binding’)

7

1

28

drug_cluster(A,’7_marinol’,hpcombo)

7

1

7

category(A,’Topoisomerase Inhibitors’), drug_has_target(A,B,inhibitor), goterm(B,’transferase activity’)

6

1

12

drug_cluster(A,’29_norfloxacin’,hpcf)

6

1

17

category(A,’Cyclooxygenase 2 Inhibitors’), drug_cluster(A,’2_estazolam’,hpcc)

6

0

32

drug_has_target(A,B,activator), goterm(B,’inflammatory response’), goterm(B,’protein binding’)

6

0

2

category(A,’Serotonin Uptake Inhibitors’)

5

0

4

drug_has_target(A,B,inhibitor), goterm(B,’synapse assembly’), drug_cluster(A,’14_fentanyl’,hpcombo)

5

1

9

drug_has_target(A,B,activator), goterm(B,’protein heterodimerization activity’), goterm(B,’cell-cell signaling’)

5

1

11

drug_has_target(A,B,other), interact(B,C), pathway(C,’Focal adhesion’,kegg), pathway(C,’Signaling events mediated by focal adhesion kinase’,pid)

5

0

13

category(A,’HIV Protease Inhibitors’), drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,D), go_relation(D,is_a,’catalytic activity’)

5

1

26

drug_has_target(A,B,inhibitor), goterm(B,’heart development’)

5

1

27

drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,go:65008), drug_cluster(A,’55_thiothixene’,tanimoto)

5

0

29

category(A,’HIV Protease Inhibitors’), drug_has_target(A,B,inhibitor), goterm(B,’oxidation reduction’)

5

0

33

drug_has_target(A,B,other), goterm(B,C), go_relation(C,is_a,go:51240)

5

1

34

drug_has_target(A,B,inhibitor), goterm(B,C), go_relation(C,is_a,’binding’), drug_cluster(A,’27_quinine’,hpcombo)

5

1

  1. The condition parts of the 35 rules contained in SEP_7 theory are given with the number of positive (P) and negative (N) covered examples. The 3 rules confirmed using peer-reviewed literature are in bld. Rules are ordered by number of positive covered examples. The 8 predicates are defined as follows: Drug_has_target(A, B, inhibitor/activator) : drug A activates/inhibits protein B; goterm(B, G): protein B is annotated by GO term G; go_relation (G1, R, G2): the relationship between GO terms G1 and G2 is R; interact(B,C): protein B interacts with protein; pathway(B, P): protein B is involved in pathway P; drug_cluster(A,K,M): drug A is member of cluster K obtained using method M; category(A,T): drug A belongs to category T; domain(B,D): protein B is composed of domain D.